AwesomeDataviz

FiftyOne

Tool for visualizing, curating and evaluating computer vision datasets and models.

Website GitHubPyPI
GitHub stars
11.1K#63 in the directory
PyPI downloads / week
31.1K
Commits, last 12 months
8,917
Contributors
170
Last commit
Latest release
v1.22.1Sep 29, 2026

Overview

FiftyOne is an open-source ML visualization tool released under the Apache-2.0 license. Its GitHub repository has 11,143 stars, 833 forks, and 170 contributors. It is actively developed with 8,917 commits in the last 12 months. The latest release, v1.22.1, was published on Sep 29, 2026. On PyPI it is downloaded about 31.1K times per week.

Its GitHub description: Refine high-quality datasets and visual AI models

GitHub topics: machine-learningartificial-intelligencedeep-learningcomputer-visiondeveloper-toolsdata-sciencepythonactive-learningdata-centric-aidata-cleaningdata-curationdata-quality

Install

PyPI
pip install fiftyone
v1.22.1

Development activity

Commits per month to the default branch over the last 12 complete months.

05001K1.5K Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
05001K1.5K Oct 2025 Jan 2026 Apr Jul
8,917 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 2025430
Nov 2025232
Dec 2025178
Jan 2026638
Feb 2026698
Mar 2026519
Apr 2026496
May 2026847
Jun 20261,182
Jul 20261,326
Aug 20261,426
Sep 2026945

Popularity among Machine learning visualization tools

Netron 33.5K PlotNeuralNet 25K Opik 22.4K Phoenix 11.7K FiftyOne 11.1K Visdom 10.3K BertViz 8.2K
Netron 33.5K PlotNeuralNet 25K Opik 22.4K Phoenix 11.7K FiftyOne 11.1K Visdom 10.3K BertViz 8.2K
GitHub stars for FiftyOne and the most-starred alternatives.
Show data as a table
ToolStars
Netron33,544
PlotNeuralNet25,009
Opik22,373
Phoenix11,704
FiftyOne11,143
Visdom10,318
BertViz8,193

Alternatives to FiftyOne

  • Netron

    Viewer for neural network, deep learning and machine learning models.

    33.5K starsJavaScriptMITFiftyOne vs Netron

  • PlotNeuralNet

    LaTeX code for drawing neural network architecture diagrams.

    25K starsTeXMITFiftyOne vs PlotNeuralNet

  • Opik

    Formerly CometLLM. Debug, evaluate, and monitor LLM applications with tracing and dashboards.

    22.4K starsPythonApache-2.0FiftyOne vs Opik

  • Phoenix

    ML observability in a notebook with UMAP visualizations

    11.7K starsPythonElastic-2.0FiftyOne vs Phoenix

  • Visdom

    Tool for real-time visualization and monitoring of live data such as ML experiments.

    10.3K starsPythonApache-2.0

  • BertViz

    Visualize attention in Transformer language models such as BERT and GPT-2.

    8.2K starsPythonApache-2.0

More comparisons: FiftyOne vs Netron · FiftyOne vs PlotNeuralNet · FiftyOne vs Opik · FiftyOne vs Phoenix

FiftyOne FAQ

Is FiftyOne open source?

Yes. FiftyOne is released under the Apache-2.0 license, and its source code is on GitHub.

Is FiftyOne still maintained?

Yes. FiftyOne is actively developed, with 8,917 commits in the last 12 months and the latest commit 2 days ago.

How do I install FiftyOne?

From PyPI: pip install fiftyone.

What are the best alternatives to FiftyOne?

The most popular alternatives listed in Machine learning visualization tools are Netron, PlotNeuralNet, and Opik. See the full ranking.

What language is FiftyOne written in?

FiftyOne is primarily written in TypeScript, according to GitHub.

Data: GitHub API, PyPI. Updated Oct 4, 2026.